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» Learning and Classification of Complex Dynamics
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NN
2006
Springer
153views Neural Networks» more  NN 2006»
13 years 7 months ago
An incremental network for on-line unsupervised classification and topology learning
This paper presents an on-line unsupervised learning mechanism for unlabeled data that are polluted by noise. Using a similarity thresholdbased and a local error-based insertion c...
Shen Furao, Osamu Hasegawa
MM
2005
ACM
160views Multimedia» more  MM 2005»
14 years 1 months ago
Putting active learning into multimedia applications: dynamic definition and refinement of concept classifiers
The authors developed an extensible system for video exploitation that puts the user in control to better accommodate novel situations and source material. Visually dense displays...
Ming-yu Chen, Michael G. Christel, Alexander G. Ha...
AIIA
2007
Springer
14 years 1 months ago
Reinforcement Learning in Complex Environments Through Multiple Adaptive Partitions
The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...
Andrea Bonarini, Alessandro Lazaric, Marcello Rest...
IUI
2009
ACM
14 years 4 months ago
Learning to generalize for complex selection tasks
Selection tasks are common in modern computer interfaces: we are often required to select a set of files, emails, data entries, and the like. File and data browsers have sorting a...
Alan Ritter, Sumit Basu
IJVR
2008
134views more  IJVR 2008»
13 years 7 months ago
An Educational Virtual Scenario for Learning Chaos and Complexity Theories
Based on contemporary Chaos and Complexity Theories, ImaginationTOOLSTM is an innovative Virtual Reality (VR) software architecture which, by means of an agent-based interface, end...
Francesca Bertacchini, Eleonora Bilotta, Pietro Pa...